Citizens from within the EU/EEA and Switzerland: No tuition fees All others: 140,000 SEK (approx. 20,000 USD/ 15,000 Euro) per academic year. All oth
28 February 2017
Degree: Master of Science (two years) with a major in Computer Science and Engineering.
Computer science and technology play a key role in every part of the modern world. The Computer Science master's programme is centred on the need for computer scientists to master the theoretical foundations of the field and be able to apply and integrate them with other technologies.
The first semester of the programme comprises mandatory core courses in theoretical computer science and programming such as Theory of Computing and Database Technology.
The second and third semesters include elective courses based on students areas of specialisation such as: artificial intelligence, databases and data mining, internet computing, the design and programming of computer games, information security, language technology, human-computer interaction, theoretical computer science or the design and implementation of computer languages.
As the courses given during the programme address both theoretical and practical issues, applicants are expected to have an adequate background in computer science and good programming skills, see the specific requirements.
The Computer Science master's programme focuses on the acquisition of skills necessary for a career at the frontline of modern software technology such as operative system designer, Internet security specialists or game engine programmer. The programme also prepares students for a career in research or continued studies towards a doctoral degree.
The programme is taught at Linköping University, the home of one of the largest centres of computer science and engineering in Northern Europe with 175 employees, including 20 full professors, and internationally renowned for the high quality of its research and education. The research at the Department of Computer Science covers a broad spectrum of topics such as artificial intelligence, cognitive science, security, databases, distributed systems, embedded and real-time systems, human-computer interaction, software engineering.